A canopy-scale test of the optimal water-use hypothesis

被引:46
作者
Schymanski, Stanislaus J.
Roderick, Michael L.
Sivapalan, Murugesu
Hutley, Lindsay B.
Beringer, Jason
机构
[1] Univ Western Australia, Sch Environm Syst Engn, Perth, WA 6009, Australia
[2] Australian Natl Univ, Res Sch Biol Sci, Environm Biol Grp, Canberra, ACT, Australia
[3] Univ Western Australia, Ctr Water Res, Perth, WA, Australia
[4] Charles Darwin Univ, Sch Sci & Primary Ind, Darwin, NT, Australia
[5] Monash Univ, Sch Geog & Environm Sci, Clayton, Vic 3168, Australia
关键词
partial derivative E/partial derivative A; adaptation; assimilation; optimization; photosynthesis; transpiration; vegetation optimality;
D O I
10.1111/j.1365-3040.2007.01740.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Common empirical models of stomatal conductivity often incorporate a sensitivity of stomata to the rate of leaf photosynthesis. Such a sensitivity has been predicted on theoretical terms by Cowan and Farquhar, who postulated that stomata should adjust dynamically to maximize photosynthesis for a given water loss. In this study, we implemented the Cowan and Farquhar hypothesis of optimal stomatal conductivity into a canopy gas exchange model, and predicted the diurnal and daily variability of transpiration for a savanna site in the wet-dry tropics of northern Australia. The predicted transpiration dynamics were then compared with observations at the site using the eddy covariance technique. The observations were also used to evaluate two alternative approaches: constant conductivity and a tuned empirical model. The model based on the optimal water-use hypothesis performed better than the one based on constant stomatal conductivity, and at least as well as the tuned empirical model. This suggests that the optimal water-use hypothesis is useful for modelling canopy gas exchange, and that it can reduce the need for model parameterization.
引用
收藏
页码:97 / 111
页数:15
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